Data Scientist – Product Builder

N10 FERROVIAL CORPORACIÓN, S.A.U.; Madrid; On-site; EUR 55,000 - 75,000; Full time

Job summary

Ferrovial is seeking a Data Scientist – Product Builder to join the AI Center of Excellence within the Digital Hub. You will turn business problems into working data products, partnering with Construction, Highways, Airports, Energy, and Digital Infrastructures units.

You will rely on agentic coding to move from data analysis to deployed products with a FastAPI back end and a Vue front end. The ideal candidate has a strong statistics background, 3+ years in a similar role, and experience

Qualifications

• Advanced statistics and probability foundations.
• Experience turning data into production data products.
• Strong programming in Python or R for data analysis.

Responsibilities

• Frame business problems and translate them into measurable objectives.
• Own end-to-end data products from analysis to deployment.
• Build and deploy data products with FastAPI backend and Vue frontend.
• Work with AI coding agents to develop production-ready solutions.
• Communicate findings to non-technical stakeholders.

Skills

Statistics

Mathematics

Python

SQL

R

GitHub Copilot

Vue

FastAPI

Education

Bachelor's or Master's in Statistics, Mathematics, CS, Engineering, Physics, Economics

Tools

Docker

Kubernetes

MLflow

Job description

Join Ferrovial: Where Innovation Meets Opportunity Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Ferrovial is also leading the development of the New Terminal One at JFK International Airport. Ferrovial shares trade under the ticker symbol FER on two stock markets: Nasdaq in the U.S. (Nasdaq100 Index) and the Spanish Stock Exchanges (IBEX 35). Ferrovial is included in globally recognized sustainability indices such as the Dow Jones Best-in-Class Index. We operate in more than 15 countries and have a workforce of over 22,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy. Our Corporate organization oversees business activities, providing strategic planning, communication, legal, finance and human resources services to the business units. As a member of our corporate organization, you will have a broad view of our company, further supporting your career development.

Why Ferrovial?

Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.

Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.

Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.

Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.

Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.

Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

Job Description: About the role

We are looking for a Data Scientist – Product Builder to join our Artificial Intelligence Center of Excellence within the Digital Hub. This is a role for someone who turns business problems into working data products, end to end. You will partner with our business areas (Construction, Highways, Airports, Energy, Digital Infrastructures and Headquarters) to understand what really matters, dig deep into the data to find the answer, and then build the product that puts that answer in the hands of the people who need it. What makes this role different is how you build. You will rely fully on agentic coding, working with AI coding agents as your main development partners to go from data analysis to a deployed, production-ready product in a fraction of the traditional time. You will not hand over a notebook and wait for someone else to turn it into a product: you own the problem, the analysis, the product and its adoption. The ideal candidate has spent a great deal of time working with real, messy business data, has a solid foundation in statistics, and combines business judgement with a strong sense of ownership and a builder's mindset.

Key Responsibilities

• Work closely with business stakeholders to frame business problems, identify the questions that matter and translate them into clear objectives and measurable success metrics.
• Own projects from start to finish: problem definition, data exploration, analysis, modelling, product build, deployment, adoption and continuous improvement.
• Carry out in-depth exploratory and statistical analysis on large and heterogeneous datasets (operational, financial, asset, sensor or geospatial data) to uncover insights and support decision-making.
• Apply sound statistical methods, such as hypothesis testing, experimental design, regression, time-series analysis, causal inference and uncertainty quantification, choosing the simplest approach that answers the business question.
• Develop predictive and prescriptive models (machine learning, forecasting, optimisation) when they add real value, validate them rigorously, and manage their lifecycle with MLflow (experiment tracking, model registry and versioning).
• Use agentic coding as the core way of working, orchestrating AI coding agents to design, write, test, refactor and document code, and to build complete data products with a FastAPI back end and a Vue front end.
• Review, validate and take full responsibility for agent-generated code, ensuring its quality, security, test coverage and maintainability.
• Deploy and maintain products in containerised environments (Docker and Kubernetes), following good engineering practices such as version control, CI/CD and monitoring.
• Communicate findings and results clearly to business teams and non-technical audiences, telling the story behind the data and measuring the business impact of each product.
• Share agentic coding practices and learnings with the team, and actively participate in knowledge-sharing activities within the Digital Hub and the broader Technology & Innovation area.

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics or a related quantitative field.
• Minimum of 3 years of hands‑on experience as a Data Scientist, Data Analyst or in a similar role, with an extensive track record of analysing real-world business data.
• Strong foundation in statistics and probability, including inference, hypothesis testing, experimental design, regression and time series, and the ability to detect biases and assess how reliable a conclusion is.
• Advanced programming skills for data analysis and statistical modelling in Python or R (for example pandas, scikit-learn or statsmodels in Python; tidyverse, data.table or tidymodels in R), and strong SQL skills.
• Demonstrable experience building products end to end with agentic coding tools such as GitHub Copilot (agent mode), Claude Code, Cursor, Codex, Devin or similar. A portfolio of products or projects built this way will be highly valued.
• Experience building and shipping data products with FastAPI for the back end and Vue for the front end.
• Ability to turn ambiguous business problems into concrete analytical approaches and useful products, with strong business acumen and product sense.
• Solid software engineering fundamentals: Git, testing, code review and CI/CD.
• Hands‑on experience with MLflow for experiment tracking, model registry and model lifecycle management.
• Basic working knowledge of Docker and Kubernetes, enough to deploy, monitor and troubleshoot applications (deployments, services, logs).
• Ownership, autonomy, initiative and a bias for action; comfortable taking a project from zero to production.
• Excellent communication skills and the ability to document and present work for both technical and non-technical audiences.
• High level of English; a minimum C1 level is required.

Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!

Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a “Protected Class”), or any other protected class in accordance with applicable laws.